{"id":"W3160150257","doi":"10.1109/icassp39728.2021.9413532","title":"Fast Inverse Mapping of Face GANs","year":2021,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Artificial intelligence; Face (sociological concept); Generator (circuit theory); Computer vision; Generative grammar; Pixel; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007743503,0.00005721585,0.0001004304,0.00002625927,0.00003889122,0.00004005785,0.0002312334,0.00002137108,0.0001271438],"category_scores_gemma":[0.00003197341,0.00005062064,0.00005069295,0.0003027369,0.00002176533,0.0002176895,0.0001752287,0.00003650641,0.00003238315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007327317,"about_ca_system_score_gemma":0.00004916184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154559,"about_ca_topic_score_gemma":0.0000283811,"domain_scores_codex":[0.9994394,0.00004640531,0.000115343,0.0001786645,0.0001019735,0.0001181988],"domain_scores_gemma":[0.9995406,0.00003759947,0.00003435951,0.0002572253,0.00009120531,0.0000390375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003626808,0.0002157707,0.001323045,0.00004759268,0.00014819,0.0001065896,0.005755019,0.03618219,0.6949399,0.06722166,0.03502033,0.1590361],"study_design_scores_gemma":[0.0002431311,0.00002223868,0.001594993,0.00002428024,0.000005028334,0.000008848836,0.00102815,0.4289403,0.5535548,0.0008948745,0.01349029,0.0001930388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002729889,0.00004595226,0.9759119,0.0008880625,0.0001788318,0.00002612304,7.573628e-7,0.00002865111,0.02018988],"genre_scores_gemma":[0.7363386,0.00001734724,0.2602705,0.0004217256,0.00004491924,0.000001168541,8.752378e-7,0.00000301706,0.002901827],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7336087,"threshold_uncertainty_score":0.206425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116948104376609,"score_gpt":0.2180115968187299,"score_spread":0.1968421157749639,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}